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Snowflake is seeking an AI/ML Solution Engineer to drive adoption of AI/ML solutions across strategic US Major Accounts. This is a high-impact, customer-facing technical role for a professional with strong AI/ML foundations (Level 200-300 technical depth) who can translate business challenges into AI/ML-driven solutions.
Key responsibilities include partnering with Account Executives and Solution Engineers to identify and develop AI/ML opportunities; conducting technical presentations and workshops on Snowflake's AI/ML portfolio; architecting and prototyping foundational AI/ML solutions and proof-of-concepts; serving as the technical bridge between customers and Snowflake's central AI/ML Product and Engineering teams; and driving sales acceleration through hands-on development of MVPs and prototypes.
You will provide direct technical support to regional SE teams on complex AI/ML sales cycles, develop training materials to upskill the broader USMajors SE organization, document solution patterns and best practices, and travel up to 30-40% to support critical customer engagements.
Required experience includes 2+ years of hands-on work with AI/ML concepts (data preparation, model training, deployment, monitoring), Level 200-300 technical depth in AI/ML, and excellent communication skills to explain complex topics to technical and non-technical audiences.
Performance is measured on incremental consumption and TACV bookings for the region (blended attainment: 60% consumption, 40% bookings), year-over-year AI/ML revenue growth targets, AI/ML use case tech wins and go-lives, and regional technical proficiency improvements. Snowflake's AI/ML business currently represents 2% of the company's $1.8B annual run rate, with significant growth opportunity.
